Download or read book Comparison of Shared and Distributed Memory Parallel Processing Models for Finding Minimum Spanning Trees written by Alan G. Emmel and published by . This book was released on 1992 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This paper investigates the use of parallel programming languages and models for finding Minimum Spanning Trees (MST's). Both the shared memory and distributed memory models were implemented using the P4 programming language tools developed at Argonne National Laboratory. The three main algorithmic approaches (by Prim, Kruskal and Sollin) for finding MST's were implemented and tested. Performance analysis of the algorithms and of the programming models is presented."--Author's abstract.
Download or read book Parallel and Distributed Processing and Applications written by Ivan Stojmenovic and published by Springer Science & Business Media. This book was released on 2007-08-14 with total page 1013 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2007, held in Niagara Falls, Canada, in August 2007. The 83 revised full papers presented together with 3 keynote speeches were carefully reviewed and selected from 244 submissions. The papers are organized in topical sections on algorithms and applications, architectures and systems, datamining and databases, fault tolerance and security, middleware and cooperative computing, networks, as well as software and languages.
Download or read book Parallel Implementation of Bor vka s Minimum Spanning Tree Algorithm written by Sun Chung and published by . This book was released on 1996 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "We study parallel algorithms for the minimum spanning tree problem, based on the sequential algorithm of Borůvka. The target architectures for our algorithm are asynchronous, distributed-memory machines. Analysis of our parallel algorithm, on a simple model that is reminiscent of the LogP model, shows that in principle a speedup proportional to the number of processors can be achieved, but that communication costs can be significant. To reduce these costs, we develop a new randomized linear work pointer jumping scheme that performs better than previous linear work algorithms. We also consider empirically the effects of data imbalance on the running time. For the graphs used in our experiments, load balancing schemes result in little improvement in running times. Our implementations on sparse graphs with 64,000 vertices on Thinking Machine's CM-5 achieve a speedup factor of about 4 on 16 processors. On this environment, packaging of messages turns out to be the most effective way to reduce communication costs."
Download or read book A Comparison of Distributed Memory and Virtual Shared Memory Parallel Programming Models written by and published by . This book was released on 1993 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: The virtues of the different parallel programming models, shared memory and distributed memory, have been much debated. Conventionally the debate could be reduced to programming convenience on the one hand, and high salability factors on the other. More recently the debate has become somewhat blurred with the provision of virtual shared memory models built on machines with physically distributed memory. The intention of such models/machines is to provide scalable shared memory, i.e. to provide both programmer convenience and high salability. In this paper, the different models are considered from experiences gained with a number of system ranging from applications in both commerce and science to languages and operating systems. Case studies are introduced as appropriate.
Download or read book Journal of the ACM written by and published by . This book was released on 2001 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book High Performance Computing HiPC 2006 written by Yves Robert and published by Springer Science & Business Media. This book was released on 2006-11-27 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Conference on High-Performance Computing, HiPC 2006, held in Bangalore, India in December 2006. The 52 revised full papers presented together with the abstracts of 7 invited talks were carefully reviewed and selected from 335 submissions. The papers are organized in topical sections on scheduling and load balancing, architectures, network and distributed algorithms, application software, network services, applications, ad-hoc networks, systems software, sensor networks and performance evaluation, as well as routing and data management algorithms.
Download or read book OpenSHMEM and Related Technologies OpenSHMEM in the Era of Exascale and Smart Networks written by Stephen Poole and published by Springer Nature. This book was released on 2022-05-19 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 8th OpenSHMEM Workshop, held in virtually in August 2021. The 11 full papers and 1 short paper presented in this book were carefully reviewed and selected for inclusion in this volume from 18 submissions. The papers are organized in the following topical sections: Applications and Implementations, Tools and Benchmarks, and Applications and Implementations.
Download or read book Shared Memory Parallelism Can Be Simple Fast and Scalable written by Julian Shun and published by ACM Books. This book was released on 2017 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallelism is the key to achieving high performance in computing. However, writing efficient and scalable parallel programs is notoriously difficult, and often requires significant expertise. To address this challenge, it is crucial to provide programmers with high-level tools to enable them to develop solutions easily, and at the same time emphasize the theoretical and practical aspects of algorithm design to allow the solutions developed to run efficiently under many different settings. This thesis addresses this challenge using a three-pronged approach consisting of the design of shared-memory programming techniques, frameworks, and algorithms for important problems in computing. The thesis provides evidence that with appropriate programming techniques, frameworks, and algorithms, shared-memory programs can be simple, fast, and scalable, both in theory and in practice. The results developed in this thesis serve to ease the transition into the multicore era. The first part of this thesis introduces tools and techniques for deterministic parallel programming, including means for encapsulating nondeterminism via powerful commutative building blocks, as well as a novel framework for executing sequential iterative loops in parallel, which lead to deterministic parallel algorithms that are efficient both in theory and in practice. The second part of this thesis introduces Ligra, the first high-level shared memory framework for parallel graph traversal algorithms. The framework allows programmers to express graph traversal algorithms using very short and concise code, delivers performance competitive with that of highly-optimized code, and is up to orders of magnitude faster than existing systems designed for distributed memory. This part of the thesis also introduces Ligra+, which extends Ligra with graph compression techniques to reduce space usage and improve parallel performance at the same time, and is also the first graph processing system to support in-memory graph compression. The third and fourth parts of this thesis bridge the gap between theory and practice in parallel algorithm design by introducing the first algorithms for a variety of important problems on graphs and strings that are efficient both in theory and in practice. For example, the thesis develops the first linear-work and polylogarithmic-depth algorithms for suffix tree construction and graph connectivity that are also practical, as well as a work-efficient, polylogarithmic-depth, and cache-efficient shared-memory algorithm for triangle computations that achieves a 2-5x speedup over the best existing algorithms on 40 cores. This is a revised version of the thesis that won the 2015 ACM Doctoral Dissertation Award.
Download or read book Handbook of Parallel Computing written by Sanguthevar Rajasekaran and published by CRC Press. This book was released on 2007-12-20 with total page 1224 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability of parallel computing to process large data sets and handle time-consuming operations has resulted in unprecedented advances in biological and scientific computing, modeling, and simulations. Exploring these recent developments, the Handbook of Parallel Computing: Models, Algorithms, and Applications provides comprehensive coverage on a
Download or read book Vector Models for Data parallel Computing written by Guy E. Blelloch and published by MIT Press (MA). This book was released on 1990 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics of Computing -- Parallelism.
Download or read book Parallel Update of Minimum Spanning Trees in Logarithmic Time written by I. V. Ramakrishnan and published by . This book was released on 1984 with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel algorithms are presented for updating a minimum spanning tree when the cost of an edge changes or when a new node is inserted in the underlying graph. The machine model used is a parallel random access machine which allows simultaneous reads but prohibits simultaneous writes into the same memory location. The algorithms described in this paper for updating a minimum spanning tree require O(log n) time and O(n square) processors. These algorithms are efficient when compared to previously known algorithms for initial construction of a minimum spanning tree that require O(log n to the base 2) time and use O(n square) processors.
Download or read book Parallel Algorithms for Regular Architectures written by Russ Miller and published by MIT Press. This book was released on 1996 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel-Algorithms for Regular Architectures is the first book to concentrate exclusively on algorithms and paradigms for programming parallel computers such as the hypercube, mesh, pyramid, and mesh-of-trees.
Download or read book Documentation Abstracts written by and published by . This book was released on 1996 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Parallel Algorithms written by C. Xavier and published by John Wiley & Sons. This book was released on 1998-08-05 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel algorithms Made Easy The complexity of today's applications coupled with the widespread use of parallel computing has made the design and analysis of parallel algorithms topics of growing interest. This volume fills a need in the field for an introductory treatment of parallel algorithms-appropriate even at the undergraduate level, where no other textbooks on the subject exist. It features a systematic approach to the latest design techniques, providing analysis and implementation details for each parallel algorithm described in the book. Introduction to Parallel Algorithms covers foundations of parallel computing; parallel algorithms for trees and graphs; parallel algorithms for sorting, searching, and merging; and numerical algorithms. This remarkable book: * Presents basic concepts in clear and simple terms * Incorporates numerous examples to enhance students' understanding * Shows how to develop parallel algorithms for all classical problems in computer science, mathematics, and engineering * Employs extensive illustrations of new design techniques * Discusses parallel algorithms in the context of PRAM model * Includes end-of-chapter exercises and detailed references on parallel computing. This book enables universities to offer parallel algorithm courses at the senior undergraduate level in computer science and engineering. It is also an invaluable text/reference for graduate students, scientists, and engineers in computer science, mathematics, and engineering.
Download or read book Algorithms written by Kenneth A. Berman and published by Course Technology. This book was released on 2005 with total page 1000 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms: Sequential, Parallel, and Distributed offers in-depth coverage of traditional and current topics in sequential algorithms, as well as a solid introduction to the theory of parallel and distributed algorithms. In light of the emergence of modern computing environments such as parallel computers, the Internet, and cluster and grid computing, it is important that computer science students be exposed to algorithms that exploit these technologies. Berman and Paul's text will teach students how to create new algorithms or modify existing algorithms, thereby enhancing students' ability to think independently.
Download or read book Multicore Programming Using the ParC Language written by Yosi Ben-Asher and published by Springer Science & Business Media. This book was released on 2012-05-26 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multicore Programming Using the ParC Language discusses the principles of practical parallel programming using shared memory on multicore machines. It uses a simple yet powerful parallel dialect of C called ParC as the basic programming language. Designed to be used in an introductory course in parallel programming and covering basic and advanced concepts of parallel programming via ParC examples, the book combines a mixture of research directions, covering issues in parallel operating systems, and compilation techniques relevant for shared memory and multicore machines. Multicore Programming Using the ParC Language provides a firm basis for the ‘delicate art’ of creating efficient parallel programs. Students can exercise parallel programming using a simulation software, which is portable on PC/Unix multicore computers, to gain experience without requiring specialist hardware. Students can also help to cement their learning by completing the great many challenging and exciting exercises which accompany each chapter.
Download or read book Applied Parallel Computing written by Yuefan Deng and published by World Scientific. This book was released on 2013 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a practical guide to computational scientists and engineers to help advance their research by exploiting the superpower of supercomputers with many processors and complex networks. This book focuses on the design and analysis of basic parallel algorithms, the key components for composing larger packages for a wide range of applications.
